Genetic Algorithm-Optimized Extreme Learning Machine Model for Estimating Daily Reference Evapotranspiration in Southwest China

Genetic Algorithm-Optimized Extreme Learning Machine Model for Estimating Daily Reference Evapotranspiration in Southwest China

Reference evapotranspiration (ET<sub>0</sub>) is an essential component in hydrological and ecological processes. The Penman–Monteith (PM) model of Food and Agriculture Organization of the United Nations (FAO) model requires a number of meteorological parameters; it is urgent to develop...

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Bibliographic Details
Main Authors: Quanshan Liu, Zongjun Wu, Ningbo Cui, Wenjiang Zhang, Yaosheng Wang, Xiaotao Hu, Daozhi Gong, Shunsheng Zheng
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Atmosphere
Subjects:
reference evapotranspiration
extreme learning machine
optimization algorithm
empirical model
solar radiation
Online Access:https://www.mdpi.com/2073-4433/13/6/971

Internet

https://www.mdpi.com/2073-4433/13/6/971

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